MHC2MIL: a novel multiple instance learning based method for MHC-II peptide binding prediction by considering peptide flanking region and residue positions.
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Machine Learning Methods for Predicting HLA-Peptide Binding ActivitySABinder: A Web Service for Predicting Streptavidin-Binding Peptides.Immunoinformatics and epitope prediction in the age of genomic medicine.Building proteomic tool boxes to monitor MHC class I and class II peptides.InCoB2014: mining biological data from genomics for transforming industry and health.
P2860
MHC2MIL: a novel multiple instance learning based method for MHC-II peptide binding prediction by considering peptide flanking region and residue positions.
description
2014 nî lūn-bûn
@nan
2014 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
MHC2MIL: a novel multiple inst ...... region and residue positions.
@ast
MHC2MIL: a novel multiple inst ...... region and residue positions.
@en
MHC2MIL: a novel multiple inst ...... region and residue positions.
@nl
type
label
MHC2MIL: a novel multiple inst ...... region and residue positions.
@ast
MHC2MIL: a novel multiple inst ...... region and residue positions.
@en
MHC2MIL: a novel multiple inst ...... region and residue positions.
@nl
prefLabel
MHC2MIL: a novel multiple inst ...... region and residue positions.
@ast
MHC2MIL: a novel multiple inst ...... region and residue positions.
@en
MHC2MIL: a novel multiple inst ...... region and residue positions.
@nl
P2093
P2860
P1433
P1476
MHC2MIL: a novel multiple inst ...... g region and residue positions
@en
P2093
Mingjie Qian
Shanfeng Zhu
Yichang Xu
P2860
P356
10.1186/1471-2164-15-S9-S9
P407
P478
15 Suppl 9
P50
P577
2014-12-08T00:00:00Z